FANUC accelerates physical AI with Google collaboration

FANUC has expanded its Physical AI Robot System by integrating Google Cloud’s Gemini Enterprise and ROS compatibility, enabling robots to perceive environments and collaborate more effectively. Over 1,000 FANUC robots for Physical AI applications have already been shipped since last December’s launch, with support for Google DeepMind’s Gemini Robotics Trusted Tester Program to advance foundational AI models in robotics.
FANUC has enhanced its Physical AI Robot System through a collaboration with Google, leveraging the latest advancements in AI and robotics. The system integrates Google Cloud’s Gemini Enterprise, an enterprise-grade generative AI with robust security, to enable robots to perceive and interact with their environments. FANUC’s robots now support ROS (Robot Operating System), an industry-standard open platform for robot control, with Google contributing through its Intrinsic robotics AI group. The system also ensures compatibility with Python for AI development and Intrinsic’s Flowstate software, which simplifies the creation of adaptable AI solutions. The Physical AI system allows both collaborative and non-collaborative robots to function as a unified cell, improving efficiency in industrial applications. Since its debut at the International Robot Exhibition in December 2025, customer demand has surged, with over 1,000 FANUC robots already deployed for Physical AI-related tasks. FANUC’s open platform approach ensures seamless integration with existing technologies, including ROS and Flowstate, accelerating AI-driven automation. Additionally, FANUC is participating in Google DeepMind’s Gemini Robotics Trusted Tester Program to advance research on foundational robotics models. This collaboration aims to push the boundaries of AI capabilities in industrial robotics, enhancing adaptability and performance. The partnership underscores FANUC’s commitment to fostering innovation in automation through open platforms and cutting-edge AI integration.
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